Department of Pharmacology, University of North Carolina School of Medicine, Chapel Hill, NC, USA.
Br J Pharmacol. 2013 Feb;168(3):554-75. doi: 10.1111/j.1476-5381.2012.02223.x.
The present-day concept of drug efficacy has changed completely from its original description as the property of agonists that causes tissue activation. The ability to visualize the multiple behaviours of seven transmembrane receptors has shown that drugs can have many efficacies and also that the transduction of drug stimulus to various cellular stimulus-response cascades can be biased towards some but not all pathways. This latter effect leads to agonist 'functional selectivity', which can be favourable for the improvement of agonist therapeutics. However, in addition, biased agonist potency becomes cell type dependent with the loss of the monotonic behaviour of stimulus-response mechanisms, leading to potential problems in agonist quantification. This has an extremely important effect on the discovery process for new agonists since it now cannot be assumed that a given screening or lead optimization assay will correctly predict therapeutic behaviour. This review discusses these ideas and how new approaches to quantifying agonist effect may be used to circumvent the cell type dependence of agonism. This article, written by a corresponding member of the International Union of Basic and Clinical Pharmacology Committee on Receptor Nomenclature and Drug Classification (NC-IUPHAR), reviews our current understanding of the interaction of ligands with seven transmembrane receptors. Further information on these pharmacological concepts is being incorporated into the IUPHAR/BPS database GuideToPharmacology.org.
当今的药物疗效概念已经完全从其最初的描述中发生了变化,即激动剂引起组织激活的特性。对七跨膜受体的多种行为进行可视化的能力表明,药物可以具有多种疗效,并且药物刺激向各种细胞刺激-反应级联的转导也可以偏向于某些但不是所有途径。这种后者的效果导致激动剂的“功能选择性”,这有利于改善激动剂的治疗效果。然而,除此之外,由于刺激-反应机制的单调性丧失,偏向激动剂的效力变得依赖于细胞类型,从而导致激动剂定量的潜在问题。这对新激动剂的发现过程产生了极其重要的影响,因为现在不能假设给定的筛选或先导优化测定将正确预测治疗行为。本文由国际基础和临床药理学联合会受体命名和药物分类委员会(NC-IUPHAR)的一名对应成员撰写,讨论了我们对配体与七跨膜受体相互作用的当前理解。关于这些药理学概念的更多信息正在被纳入 IUPHAR/BPS 数据库 GuideToPharmacology.org。